Enas Yahya Alqulaity¹, Wael M.S. Yafooz^1,*, Abdullah Alourani², Ayman Jaradat³

Intelligent Automation & Soft Computing, Vol.39, No.5, pp. 907-928, 2024, DOI:10.32604/iasc.2024.055470 - 31 October 2024

Abstract Arabic dialect identification is essential in Natural Language Processing (NLP) and forms a critical component of applications such as machine translation, sentiment analysis, and cross-language text generation. The difficulties in differentiating between Arabic dialects have garnered more attention in the last 10 years, particularly in social media. These difficulties result from the overlapping vocabulary of the dialects, the fluidity of online language use, and the difficulties in telling apart dialects that are closely related. Managing dialects with limited resources and adjusting to the ever-changing linguistic trends on social media platforms present additional challenges. A strong… More >

Alan F.N. Boss¹, Manuella G.C. Munhoz¹, Gisele Amaral-Labat², Rodrigo G.A. Lima², Leonardo I. Medeiros^2,3, Nila C.F.L. Medeiros^2,3, Beatriz C.S. Fonseca², Flavia L. Braghiroli^4,*, Guilherme F.B. Lenz e Silva¹

Journal of Renewable Materials, Vol.12, No.10, pp. 1639-1659, 2024, DOI:10.32604/jrm.2024.056004 - 23 October 2024

Abstract Radar Absorbing Materials (RAM) are a class of composites that can attenuate incident electromagnetic waves to avoid radar detection. Most carbon allotropes that have the potential to be used as RAM are either carbon nanotubes (CNTs), graphene, carbon black (CB) and ultimately, sustainable porous carbon (SPC). Here, black wattle bark waste (following tannin extraction) was used as a sustainable source to produce SPC made from biomass waste. It was characterized and used as a filler for a silicone rubber matrix to produce a flexible RAM. The electromagnetic performance of this composite was compared with composites… More >

Souhayla Dargaoui¹, Mourade Azrour^1,*, Ahmad El Allaoui¹, Azidine Guezzaz², Abdulatif Alabdulatif³, Abdullah Alnajim⁴

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 65-91, 2024, DOI:10.32604/cmc.2024.047625 - 25 April 2024

Abstract Nowadays, devices are connected across all areas, from intelligent buildings and smart cities to Industry 4.0 and smart healthcare. With the exponential growth of Internet of Things usage in our world, IoT security is still the biggest challenge for its deployment. The main goal of IoT security is to ensure the accessibility of services provided by an IoT environment, protect privacy, and confidentiality, and guarantee the safety of IoT users, infrastructures, data, and devices. Authentication, as the first line of defense against security threats, becomes the priority of everyone. It can either grant or deny… More >

Dandan Wang, Xiaohong Li, Yanwen Zhang^*

Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 355-369, 2024, DOI:10.32604/phyton.2024.047183 - 27 February 2024

Abstract Taxus cuspidata is a rare plant with important medicinal and ornamental value. Aiming at the obvious differences between wild and cultivated populations of T. cuspidata from Northeast China, a total of 61 samples, that is, 33 wild yews and 28 cultivated yews were used to analyze the differences and correlations of the kinship, genetic diversity, and genetic structure between them by specific length amplified fragment sequencing (SLAF-seq). Finally, 470725 polymorphic SLAF tags and 58622 valid SNP markers were obtained. Phylogenetic analysis showed that 61 samples were classified into 2 clusters: wild populations and cultivated populations, and some… More >

Tayyaba Farhat^1,2, Sheeraz Akram^3,*, Hatoon S. AlSagri³, Zulfiqar Ali⁴, Awais Ahmad³, Arfan Jaffar^1,2

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 105-126, 2024, DOI:10.32604/cmc.2023.045022 - 30 January 2024

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by significant challenges in social interaction, communication, and repetitive behaviors. Timely and precise ASD detection is crucial, particularly in regions with limited diagnostic resources like Pakistan. This study aims to conduct an extensive comparative analysis of various machine learning classifiers for ASD detection using facial images to identify an accurate and cost-effective solution tailored to the local context. The research involves experimentation with VGG16 and MobileNet models, exploring different batch sizes, optimizers, and learning rate schedulers. In addition, the “Orange” machine learning tool is employed to… More >

Elif Varol Altay, Osman Altay, Yusuf Özçevik^*

CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 1039-1094, 2024, DOI:10.32604/cmes.2023.029404 - 30 December 2023

Abstract Real-world engineering design problems with complex objective functions under some constraints are relatively difficult problems to solve. Such design problems are widely experienced in many engineering fields, such as industry, automotive, construction, machinery, and interdisciplinary research. However, there are established optimization techniques that have shown effectiveness in addressing these types of issues. This research paper gives a comparative study of the implementation of seventeen new metaheuristic methods in order to optimize twelve distinct engineering design issues. The algorithms used in the study are listed as: transient search optimization (TSO), equilibrium optimizer (EO), grey wolf optimizer… More >

Woo Chul Chung¹, Chungkuk Jin^2,*, MooHyun Kim³, Ju-young Hwang⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 155-174, 2023, DOI:10.32604/cmes.2023.026754 - 23 April 2023

Abstract This paper presents dynamic-behavior comparisons and related forensic analyses of a submerged floating tunnel (SFT) between numerical simulation and physical experiment under regular and irregular waves. The experiments are conducted in the 3D wave tank with 1:33.3 scale, and the corresponding coupled time-domain simulation tool is devised for comparison. The entire SFT system consists of a long concrete tunnel and 12 tubular aluminum mooring lines. Two numerical simulation models, the Cummins equation with 3D potential theory including second-order wave-body interaction effects and the much simpler Morison-equation-based formula with the lumped-mass-based line model, are designed and More >

Umaira Tabbasam¹, Amjad Islam Amjad², Tariq Ahmed¹, Xing Qiang^1,*

International Journal of Mental Health Promotion, Vol.25, No.3, pp. 389-402, 2023, DOI:10.32604/ijmhp.2023.024130 - 21 February 2023

Abstract Adolescents’ emotions and preferences are influenced by their childhood experiences. In today’s world, there is a pervasive eagerness for happiness. Happiness has been linked to feelings of self-strength, seeking help, and psychological health. The current quantitative research was designed with a positive psychological perspective to compare Pakistani and Chines adolescents’ self-strength, seeking help, and happiness. The research design of the study was causal-comparative. The study population consisted of 400 Pakistani and 409 Chinese adolescents studying in the elementary grades of both countries. The sample was selected by using a simple random sampling technique. It consisted… More >

Hiam Alquran^1,2, Yazan Al-Issa³, Mohammed Alslatie⁴, Isam Abu-Qasmieh¹, Amin Alqudah³, Wan Azani Mustafa^5,7,*, Yasmin Mohd Yacob^6,7

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1653-1671, 2023, DOI:10.32604/csse.2023.033861 - 09 February 2023

Abstract Liver cancer is the second leading cause of cancer death worldwide. Early tumor detection may help identify suitable treatment and increase the survival rate. Medical imaging is a non-invasive tool that can help uncover abnormalities in human organs. Magnetic Resonance Imaging (MRI), in particular, uses magnetic fields and radio waves to differentiate internal human organs tissue. However, the interpretation of medical images requires the subjective expertise of a radiologist and oncologist. Thus, building an automated diagnosis computer-based system can help specialists reduce incorrect diagnoses. This paper proposes a hybrid automated system to compare the performance… More >

Nour El Houda Ben Mustaphaa^1,3,*, Ibtissem Boumnijel¹, M. El-Ganaoui², Daoued Mihoubi¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1339-1348, 2023, DOI:10.32604/fdmp.2023.022888 - 30 January 2023

Abstract Drying of a deformable saturated porous medium based on convective tempering is a novel method that can enhance energy efficiency and the quality of the dried product itself. In this experimental investigation, the performances of this specific technique are compared with those of a standard stationary drying process in terms of deformation, drying kinetics, moisture redistribution, and energy consumption. In particular, the response of a deformable saturated porous medium (Kaolin) is considered. The results are critically discussed pointing out advantages and drawbacks. More > Graphic Abstract